IDEAS home Printed from https://ideas.repec.org/a/ags/illufd/328934.html
   My bibliography  Save this article

The Accuracy of Early Season Crop Weather Model Forecasts of the U.S. Average Corn Yield

Author

Listed:
  • Irwin, Scott
  • Hubbs, Todd

Abstract

No abstract is available for this item.

Suggested Citation

  • Irwin, Scott & Hubbs, Todd, 2020. "The Accuracy of Early Season Crop Weather Model Forecasts of the U.S. Average Corn Yield," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(131), July.
    • Handle: RePEc:ags:illufd:328934
    DOI: 10.22004/ag.econ.328934
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/328934/files/fdd160720.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.328934?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Westcott, Paul C. & Jewison, Michael, 2013. "Weather Effects on Expected Corn and Soybean Yields," Agricultural Outlook Forum 2013 146846, United States Department of Agriculture, Agricultural Outlook Forum.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nafziger, Emerson, . "Weather and the 2020 Illinois Corn and Soybean Crops," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(144).
    2. Irwin, Scott, . "Was the Final USDA Estimate of the 2020 U.S. Corn Yield an Outlier?," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 11(30).
    3. Irwin, Scott, . "The Relative Impact of Crop Weather Variables on the U.S. Average Yield of Soybeans," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 13(194).
    4. Irwin, Scott & Hubbs, Todd, 2020. "The Accuracy of Early Season Crop Weather Model Forecasts of the U.S. Average Soybean Yield," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(136), July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fengxia Dong, 2022. "Cover Crops, Drought, Yield, and Risk: An Analysis of US Soybean Production," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 241-267, National Bureau of Economic Research, Inc.
    2. Eric J Belasco & Joseph Cooper & Vincent H Smith, 2020. "The Development of a Weather‐based Crop Disaster Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 240-258, January.
    3. Ida Farida & Faurani Santi Singagerda, 2021. "Volatilitiy of World Food Commodity Prices and Renewable Fuel Standard Policy," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 516-527.
    4. Sharma, Sankalp & Bairagi, Subir K., 2021. "Role of Producer Risk-preferences on Debt Undertaking: Evidence from Nebraska," 2021 Annual Meeting, August 1-3, Austin, Texas 313998, Agricultural and Applied Economics Association.
    5. Irwin, Scott & Good, Darrel & Sanders, Dwight, 2015. "Understanding and Evaluating WAOB/USDA Corn Yield Forecasts," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 5, April.
    6. Robert D. De Kleine & Timothy J. Wallington & James E. Anderson & Hyung Chul Kim, 2017. "Commentary on “carbon balance effects of US biofuel production and use,” by DeCicco et al. (2016)," Climatic Change, Springer, vol. 144(2), pages 111-119, September.
    7. Sandy Dall'Erba & Zhangliang Chen & Noé J. Nava, 2021. "U.S. Interstate Trade Will Mitigate the Negative Impact of Climate Change on Crop Profit," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1720-1741, October.
    8. Irwin, Scott & Hubbs, Todd, 2020. "The Accuracy of Early Season Crop Weather Model Forecasts of the U.S. Average Soybean Yield," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(136), July.
    9. Cao, An N.Q. & Gebrekidan, Bisrat Haile & Heckelei, Thomas & Robe, Michel A., 2022. "County-level USDA Crop Progress and Condition data, machine learning, and commodity market surprises," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322281, Agricultural and Applied Economics Association.
    10. Michael Keane & Timothy Neal, 2020. "Climate change and U.S. agriculture: Accounting for multidimensional slope heterogeneity in panel data," Quantitative Economics, Econometric Society, vol. 11(4), pages 1391-1429, November.
    11. Irwin, Scott & Hubbs, Todd, . "Understanding the WAOB Crop Weather Model for Corn," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(121).
    12. Roger Cooke & Alexander Golub, 2020. "Market-based methods for monetizing uncertainty reduction," Environment Systems and Decisions, Springer, vol. 40(1), pages 3-13, March.
    13. Wang, Lu & Wu, Rui & Ma, WeiChun & Xu, Weiju, 2023. "Examining the volatility of soybean market in the MIDAS framework: The importance of bagging-based weather information," International Review of Financial Analysis, Elsevier, vol. 89(C).
    14. Irwin, Scott & Good, Darrel, 2015. "Forming Expectations for the 2015 U.S. Average Soybean Yield: What Does History Teach Us?," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 5, March.
    15. Laura C. Bowling & Keith A. Cherkauer & Charlotte I. Lee & Janna L. Beckerman & Sylvie Brouder & Jonathan R. Buzan & Otto C. Doering & Jeffrey S. Dukes & Paul D. Ebner & Jane R. Frankenberger & Benjam, 2020. "Agricultural impacts of climate change in Indiana and potential adaptations," Climatic Change, Springer, vol. 163(4), pages 2005-2027, December.
    16. Li, Ziran & Li, Ding & Zhang, Tengfei & Zhang, Tianyang, 2022. "Climate impact on the USDA ending stocks forecast errors," Finance Research Letters, Elsevier, vol. 48(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:illufd:328934. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dauiuus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.